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Visualization and Detection of Multiple Aliases in Social Media
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Monitoring and analysis of web forums are becoming important for intelligence analysts around the globe since terrorists and extremists are using forums for spreading propaganda and communicating with each other. Various tools for analyzing the content of forum postings and identifying aliases that need further inspection by analysts have been proposed throughout literature. But a problem related to web forums is that individuals can make use of several aliases and conceal their identity.

In this thesis work we propose a number of matching techniques for detecting forum users who make use of multiple aliases. By combining  different techniques such as time profiling and stylometric analysis of messages the accuracy of recognizing users with multiple aliases increases, as shown in experiments conducted on the (ICWSM) International Conference on Weblogs and Social Media Dataset Boards.ie Dataset.

Place, publisher, year, edition, pages
2013.
Series
IT, 13 050
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-204890OAI: oai:DiVA.org:uu-204890DiVA: diva2:640042
Educational program
Master Programme in Computer Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-08-12 Created: 2013-08-12 Last updated: 2013-08-12Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf